Energizing Finance: The Energy Crisis, Oil Futures, and Neoliberal Narratives
Bibliographic record
Abstract
This article examines the origins and development of oil futures trading in the United States to demonstrate the important role that energy concerns played in the financialization of the U.S. economy in the 1970s and 1980s. The article contextualizes the emergence of oil futures contracts by narrating the longer history of U.S. futures markets and financialization. It also explores the halting development of oil futures contracts, and analyzes the three kinds of legitimating narratives that accompanied oil futures trading: reason, the primacy of price, and power. As a whole, the article argues that energy crisis discourse contributed significantly to the financialization of the U.S. economy by framing futures markets as the only viable solution to the energy crisis. The much-celebrated oil futures contracts on the New York Mercantile Exchange supported and marked the emergent power of financial thinking as the United States entered a neoliberal era.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.006 | 0.023 |
| Scholarly communication | 0.008 | 0.012 |
| Open science | 0.000 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".